Data Scientis (Operations Digital Twin)

develop and maintain ML models for forecasting short-term demand signals and detecting anomalies across virtual warehouse clusters; • build predictive models to estimate task workload, execution times (ETA), and expected operational performance; • design algorithms to optimize task distribution, sequencing, and prioritization across operational teams; • develop routing and path-optimization models to improve picker movement efficiency within dark stores; • construct data-driven decision modules that integrate commercial rules, operational constraints, and geometric layouts; • translate business requirements into ML-supported decision flows and automate key parts of operational logic; • build SQL pipelines and data transformations for commercial, operations, and logistics datasets; • work closely with supply chain, dark store operations, category management, and IT to deliver measurable improvements; • conduct A/B testing, validate model impact, and ensure high-quality model monitoring.